Revisiting unreasonable effectiveness of data in deep learning era. In Proceedings of the IEEE international conference on computer vision . 843–852
Chen Sun, Abhinav Shrivastava, Saurabh Singh, and Abhinav Gupta. 2017 · 2017
Cited alongside, same era.
Learning to Represent Programs with Graphs. In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings . OpenReview.net
Miltiadis Allamanis, Marc Brockschmidt, and Mahmoud Khademi. 2018 · 2018
Cited alongside, same era.
Deepbugs: A learning approach to name-based bug detection
Michael Pradel and Koushik Sen. 2018 · 2018
Cited alongside, same era.
Getafix: Learning to fix bugs automatically
Johannes Bader, Andrew Scott, Michael Pradel, and Satish Chandra. 2019 · 2019
Cited alongside, same era.
Sequencer: Sequence-to-sequence learning for end-to-end program repair
Zimin Chen, Steve James Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, and Martin Monperrus. 2019 · 2019
Cited alongside, same era.
Global relational models of source code. In International conference on learning representations
Vincent J Hellendoorn, Charles Sutton, Rishabh Singh, Petros Maniatis, and David Bieber. 2019 · 2019
Cited alongside, same era.
An empirical study on learning bug-fixing patches in the wild via neural machine translation
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, and Denys Poshyvanyk. 2019 · 2019
Cited alongside, same era.
How often do single-statement bugs occur? the manysstubs4j dataset. In Proceedings of the 17th International Conference on Mining Software Repositories . 573–577
Rafael-Michael Karampatsis and Charles Sutton. 2020 · 2020
Cited alongside, same era.